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» Finding Strongly Knit Clusters in Social Networks
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IM
2008
13 years 4 months ago
Finding Strongly Knit Clusters in Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...
SIGCOMM
2010
ACM
13 years 4 months ago
An analysis of social network-based Sybil defenses
Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been propo...
Bimal Viswanath, Ansley Post, P. Krishna Gummadi, ...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 4 months ago
The Naming Game in Social Networks: Community Formation and Consensus Engineering
We study the dynamics of the Naming Game [Baronchelli et al., (2006) J. Stat. Mech.: Theory Exp. P06014] in empirical social networks. This stylized agentbased model captures essen...
Qiming Lu, Gyorgy Korniss, Boleslaw K. Szymanski
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 5 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
HICSS
2008
IEEE
126views Biometrics» more  HICSS 2008»
13 years 11 months ago
An Empirical Investigation of Knowledge Creation in Electronic Networks of Practice: Social Capital and Theory of Planned Behavi
How to achieve knowledge creation effectively remains a problem, this becomes even more difficult in a loosely knitted community such as networks of practice. This is because know...
Shih-Wei Chou, Yu-Chieh Chang